Super-resolved Localisation without Identifying LoS/NLoS Paths

TL;DR

This paper introduces a novel super-resolution based method for localising mobile stations using multiple base stations, bypassing the need for data association and LoS/NLoS path identification, with proven robustness and accuracy.

Contribution

It presents a unified approach that eliminates the need for identifying LoS/NLoS paths and data association, using virtual scatters and convex programming for direct localisation.

Findings

Addresses long-standing localisation issues in the literature.

Guarantees global convergence in localisation.

Demonstrates robustness to noise in numerical tests.

Abstract

This paper focuses on the problem of localising a transmitting mobile station (MS) using multiple cooperative base stations (BSs). There are two technical difficulties: one is the data association between intermediate parameters and scatters; the other is to identify Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) paths. Our main contribution is a unified approach bypassing both data association and LoS/NLoS path identification. This is achieved by introducing virtual scatters and then a direct localisation formulation. Modern super-resolution technique is then adapted to cast the localisation problem as convex programming and solve it. Our approach addresses long-standing issues not completely solved in the literature, guarantees a global convergence, achieves good localisation accuracy and demonstrates its robustness to noise in our numerical tests.